Self-Healing Concrete Durability Modeling Patent Snapshot
Patent protection for self-healing concrete durability modeling is at its earliest possible stage, with only a single patent family indexed globally, filed in India in 2026. No dominant assignee, no established filing corridor, and no cited prior art exist — the space is effectively pre-competitive.
A single-applicant field: no incumbent concentration to overcome
The corpus stands at 1 patent family in scope, held by a group of individual inventors and Poornima College of Engineering, all named as co-applicants on the same record. DR PEEYUSH VATS leads the applicant ranking by virtue of being listed on that sole filing.
With only one record among the top hundred ranked filers, the top-five filers account for the entirety of activity — a trivial concentration figure that reflects the absence of corporate incumbents rather than a genuine lock-in dynamic.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Dr. Peeyush Vats | 1 | |
| 2 | Poornima College of Engineering | 1 | |
| 3 | Dr. Mayank Gupta | 1 | |
| 4 | Dr. Ankit Tyagi | 1 |
The absence of large industrial or government assignees implies that no organization has yet staked proprietary ground in computational durability modeling for self-healing concrete. Entry barriers from existing IP are, at present, negligible.
The single record was published in 2026 and may still be in early prosecution; downstream publication lag means additional co-pending applications could be unindexed. The evidence snapshot should be revisited as the filing matures.
Zero prior-year activity followed by a single 2026 filing — the field is nascent
Annual filing data and technology classification together indicate a field that has produced no indexed output before 2026. The single filing’s IPC coverage spans AI-based computing and business/administrative data processing, revealing a modeling-and-analytics orientation rather than materials chemistry.
Annual filing trend
The trend shows zero filings from 2017 through 2025, with one record appearing in 2026. Given standard publication lag, this single 2026 record is itself likely still in early examination; it is premature to read any upward trend into the data.
↗ Hover for values · click a bar to ask EurekaTechnology composition
The sole record is classified under G06N (AI-based computing models) and G06Q (business, commerce, and administrative data processing), indicating the filing addresses predictive or decision-support modeling rather than physical material formulation. No structural engineering or materials science IPC classes appear, which may reflect either the inventor’s chosen framing or a genuine gap in mechanistic modeling coverage.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Self-healing concrete structural monitoring instru…
The present invention relates to the development of an intelligent infrastructure system developed to improve the durability, safety, and performance of civil structures. The system combines self-healing concrete technology with sensor integration to continuously monitor structural parameters such as strain, crack width, vibration, temperature, and moisture… (excerpt from the patent abstract)
Open this patent in Eureka →Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
DR PEEYUSH VATS
DR PEEYUSH VATS holds 1 patent record as the lead-listed inventor on the sole indexed filing. Technology emphasis spans G06N AI-based computing and G06Q business/administrative data processing. No multi-year momentum data is available; this is a new entrant with no prior filing history in the indexed corpus.
patent records: 1Poornima College of Engineering
Poornima College of Engineering appears as the institutional co-applicant on the same 1 patent record, with the same G06N and G06Q technology focus as the individual inventors. No independent filings or separate trajectory data are available for this institution in this corpus.
patent records: 1Frequently asked questions
Only 1 patent family is indexed in this corpus globally. The field is at pre-emergence stage with no multi-year filing history prior to 2026.
DR PEEYUSH VATS is the top-ranked applicant by patent records, followed by POORNIMA COLLEGE OF ENG, DR MAYANK GUPTA, DR ANKIT TYAGI, and DR SIDDHARTH — all co-applicants on the same single filing.
India is the only jurisdiction with an indexed filing. No PCT, US, European, or Chinese filings appear in the current corpus.
The single indexed record is classified under G06N (AI-based computing models) and G06Q (business, commerce, and administrative data processing), indicating a predictive or decision-support modeling orientation.
No top-cited patents are available in the current evidence. The sole filing was indexed in 2026 and has not yet accumulated a citation record.
From a freedom-to-operate perspective, the absence of incumbent filings means low IP barrier to entry at present. However, the evidence base is extremely thin — only 1 family — so any follow-up research decisions should be supplemented with a broader prior-art search across adjacent IPC classes such as C04B and G01N before committing to a filing strategy.
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Disclaimer. This page is generated from PatSnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. PatSnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.